Fine scale structure of convective mixed layer in ice-covered lake

Fine scale structure of convective mixed layer in ice-covered lake
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DOI:
10.1007/s10652-018-9652-2
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发表时间:
2018-12
影响因子:
2.2
通讯作者:
S. Volkov;S. Bogdanov;R. Zdorovennov;G. Zdorovennova;A. Terzhevik;N. Palshin;D. Bouffard;G. Kirillin
S. Volkov;S. Bogdanov;R. Zdorovennov;G. Zdorovennova;A. Terzhevik;N. Palshin;D. Bouffard;G. Kirillin
中科院分区:
工程技术3区
文献类型:
--
作者:
S. Volkov;S. Bogdanov;R. Zdorovennov;G. Zdorovennova;A. Terzhevik;N. Palshin;D. Bouffard;G. Kirillin

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Nonstationary convection forced by distributed buoyancy sources is a fundamental environmental fluid mechanics process, particularly in ice-covered freshwater waterbodies. In this paper, we present novel field-based results that characterise the diurnal evolution of the main energetics of radiatively-driven convection in ice-covered lakes that is the radiatively-induced buoyancy flux, B, and the kinetic energy dissipation rate,. To estimate the spatiotemporal distribution of, we applied scale similarity of the velocity structure functions to identify the fine turbulence scales from high-frequency velocity measurements. The field study was carried out at Lake Vendyurskoe, Russia, in April 2016. Small-scale velocity fluctuations were measured using acoustic Doppler current profiler in a 2 m layer beneath the ice cover. The method was proven to be valid for low-energy convection without mean shear. The inertial subrange, covering order of magnitude in the spatial domain, was identified by fitting thescaling power law to the structure function method, thus confirming the regime of fully developed turbulence. The calculated rate of dissipation of turbulent kinetic energyreaches values up to. Although a strong correlation betweenand B was observed,picks up about 1 h later after the onset of the heating-phase. This delay roughly corresponds to the turnover time of the energy containing eddies. We finally observed a decay ofat night, during the relaxation-phase, but, interestingly, the level remained above the statistical error.